STEM OPT Machine Learning Engineer Jobs
Machine Learning Engineer roles sit squarely within STEM OPT eligibility, letting you work up to 36 months total with an employer enrolled in E-Verify. Your degree in computer science, statistics, or a related STEM field qualifies for the 24-month extension, giving you a longer runway to build production ML systems and pursue H-1B visa sponsorship.
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Get Access To All JobsJob ID: 1161543_RR00119546
Facility: NYU Grossman School of Medicine
Position Type: Full-Time/Regular
Shift: Day
Schedule: 9am-5pm
Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine
NYU Grossman School of Medicine is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Sr. Engineer I – AI.
As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers – data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).
Job Responsibilities:
- Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development
- Collaborate with data scientists to build and/or fine-tune high performing AI models and implement modern techniques from relevant published papers
- Develop scalable and robust pipelines to support large data processing tasks
- Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards
- Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)
- Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow/work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities
- Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team
- Provide technical guidance and coaching to less experienced team members
- Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support
Minimum Qualifications:
To qualify you must have a – Bachelor’s degree in computer science, software engineering, or a related field.
- At least 3-5 years of hands-on experience in AI Solution development
- Strong programming skills in Python, or other languages commonly used in AI development
- Substantial knowledge of AI, machine learning, and deep learning
- Experience with AI platforms like PyTorch or TensorFlow
- Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)
- Understanding of software development principles and methodologies, including data structures, data modeling and software architecture
- Excellent problem-solving skills and ability to work in a team environment
- Excellent communication skills, both verbal and written
Preferred Qualifications:
- Masters degree in computer science, data science, software engineering, or a related quantitative discipline
- 5-7 years of hands-on experience in AI Solution development
- Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI/ML toolchain
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 – $147,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
About NYU Langone Health
Be Where Everyone Is Dedicated to Exceptional Care
NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.
Our Hiring Process
Joining Our Team
Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.
Step 1
Apply Online
The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.
Step 2
Schedule Interviews
If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.
Step 3
Receive Offer
If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.
Step 4
Training & Orientation
You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.
Job ID: 1161543_RR00119546
Facility: NYU Grossman School of Medicine
Position Type: Full-Time/Regular
Shift: Day
Schedule: 9am-5pm
Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine
NYU Grossman School of Medicine is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Sr. Engineer I – AI.
As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers – data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).
Job Responsibilities:
- Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development
- Collaborate with data scientists to build and/or fine-tune high performing AI models and implement modern techniques from relevant published papers
- Develop scalable and robust pipelines to support large data processing tasks
- Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards
- Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)
- Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow/work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities
- Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team
- Provide technical guidance and coaching to less experienced team members
- Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support
Minimum Qualifications:
To qualify you must have a – Bachelor’s degree in computer science, software engineering, or a related field.
- At least 3-5 years of hands-on experience in AI Solution development
- Strong programming skills in Python, or other languages commonly used in AI development
- Substantial knowledge of AI, machine learning, and deep learning
- Experience with AI platforms like PyTorch or TensorFlow
- Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)
- Understanding of software development principles and methodologies, including data structures, data modeling and software architecture
- Excellent problem-solving skills and ability to work in a team environment
- Excellent communication skills, both verbal and written
Preferred Qualifications:
- Masters degree in computer science, data science, software engineering, or a related quantitative discipline
- 5-7 years of hands-on experience in AI Solution development
- Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI/ML toolchain
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 – $147,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
About NYU Langone Health
Be Where Everyone Is Dedicated to Exceptional Care
NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.
Our Hiring Process
Joining Our Team
Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.
Step 1
Apply Online
The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.
Step 2
Schedule Interviews
If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.
Step 3
Receive Offer
If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.
Step 4
Training & Orientation
You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.
See all 1,035+ STEM OPT Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Machine Learning Engineer
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program List. Computer science, data science, and applied mathematics all qualify, but some interdisciplinary programs don't. Confirm with your DSO before submitting your STEM OPT extension request.
Confirm E-Verify enrollment before accepting offers
Every employer who hires you on STEM OPT must be enrolled in E-Verify. Search the E-Verify employer search tool by company name to confirm active enrollment before you sign anything. A company that isn't enrolled can't legally employ you on the extension.
Target roles with explicit ML infrastructure ownership
Job postings that list model deployment, MLOps, or production pipeline work signal deeper engineering need and stronger H-1B sponsorship intent than pure research or analytics roles. Employers filing LCAs for these specializations have a documented business need that supports future petitions.
Use Migrate Mate to filter for E-Verify employers
Search Machine Learning Engineer roles on Migrate Mate, which filters listings to employers with verified sponsorship history. You'll see which companies have active E-Verify enrollment and prior STEM OPT hiring patterns, cutting out the guesswork before you apply.
Negotiate your I-983 training plan before day one
Your employer must complete and sign Form I-983, detailing your learning objectives and supervision structure. Raise this during the offer stage, not after you start. ML roles should specify concrete deliverables like model evaluation frameworks or deployment pipelines, not vague descriptions of team contribution.
Time your H-1B registration around your OPT end date
If USCIS selects you in the H-1B lottery with an October 1 start date, cap-gap protection extends your STEM OPT authorization automatically while your petition is pending. Missing the March registration window means a gap in status, so track your OPT expiration date against the annual H-1B registration period.
Frequently Asked Questions
Does a machine learning engineer role qualify for STEM OPT?
Yes, if your underlying degree has a CIP code on the DHS STEM Designated Degree Program List. Degrees in computer science, electrical engineering, statistics, and applied mathematics all qualify. The role itself must also align with your degree field, and your employer must document that connection in Form I-983. Your DSO confirms eligibility before submitting the extension request to USCIS.
How do I verify that a machine learning employer is enrolled in E-Verify?
Use the E-Verify employer search tool to look up the company by name or employer identification number before accepting an offer. Active enrollment is a legal requirement for any employer hiring STEM OPT students, not just a best practice. If the company isn't listed, they can't hire you on the extension, regardless of their sponsorship willingness or size.
What goes into the I-983 training plan for a machine learning engineer?
Form I-983 must describe your specific learning objectives, the supervision structure, how the role relates to your STEM degree, and how your employer will evaluate your progress. For ML roles, that means naming concrete technical areas like model training pipelines, feature engineering, or inference optimization. Generic job descriptions don't satisfy the requirement. Both you and your supervisor must sign it, and it must be updated if your role or responsibilities change materially.
What happens to my STEM OPT if I'm selected in the H-1B lottery?
If USCIS selects your H-1B petition and your employer files it before your OPT expires, cap-gap protection automatically extends your work authorization through September 30 of that year. You can keep working for the same employer during that period without interruption. If October 1 arrives and your H-1B is still pending or approved, your H-1B status begins and your OPT ends.
Where can I find machine learning engineer jobs that sponsor STEM OPT students?
Migrate Mate lists Machine Learning Engineer roles filtered to employers with active E-Verify enrollment and documented sponsorship history, so you're not wasting applications on companies that can't hire you on OPT. You can search by role, location, and employer sponsorship activity to prioritize companies that have already navigated STEM OPT hiring and are set up to support the I-983 process.